首页    期刊浏览 2024年09月19日 星期四
登录注册

文章基本信息

  • 标题:Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data
  • 本地全文:下载
  • 作者:Jiseong Son ; Chul-Su Lim ; Hyoung-Seop Shim
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2021
  • 卷号:13
  • 期号:5
  • 页码:124
  • DOI:10.3390/fi13050124
  • 出版社:MDPI Publishing
  • 摘要:Despite the development of various technologies and systems using artificial intelligence (AI) to solve problems related to disasters, difficult challenges are still being encountered. Data are the foundation to solving diverse disaster problems using AI, big data analysis, and so on. Therefore, we must focus on these various data. Disaster data depend on the domain by disaster type and include heterogeneous data and lack interoperability. In particular, in the case of open data related to disasters, there are several issues, where the source and format of data are different because various data are collected by different organizations. Moreover, the vocabularies used for each domain are inconsistent. This study proposes a knowledge graph to resolve the heterogeneity among various disaster data and provide interoperability among domains. Among disaster domains, we describe the knowledge graph for flooding disasters using Korean open datasets and cross-domain knowledge graphs. Furthermore, the proposed knowledge graph is used to assist, solve, and manage disaster problems.
  • 关键词:knowledge graph; ontology; open dataset; flooding disaster knowledge graph ; ontology ; open dataset ; flooding disaster
国家哲学社会科学文献中心版权所有